bachelor_thesis_project
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Keywords
Repository
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning
Abstract
The quality of tools for recognizing proper names in texts depends on the domain and coverage of the training data. Obtaining a model with satisfactory performance requires using a corpus with a large number of samples, which translates into time spent on data annotation by users with skills such as machine learning engineers, data analysts or annotators, linguists. The goal of the work is to build a system to support the creation of proper name recognition tools by annotating them on a progressively larger set of training data based on the active learning method, thereby improving their quality. The project also aims to accelerate the process of creating datasets and building natural language machine learning models, based on the active learning method. In addition to the use of the promising and constantly developing method of active learning, the motivation of the Author of the work is also to reduce the working time of people involved in the process of creating models. The Author was also prompted to take up the topic of the work by the small number of examples of using the active learning method for the task of recognizing occurrences of proper names, as opposed to classification tasks, in the literature. The paper includes the theoretical basis, a review of available solutions and tools, a description of the implementation, static and dynamic analysis, as well as a summary of the results of the work and the future of the developed system. The stated objectives and requirements were met by the developed system.
Key illustrations
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Owner
- Name: Jędrzej Jamnicki
- Login: jamnicki
- Kind: user
- Location: Wrocław, Poland
- Company: @CLARIN-PL
- Repositories: 3
- Profile: https://github.com/jamnicki
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Jamnicki" given-names: "Jędrzej" title: "bachelor_thesis_project" version: 1.0.0 date-released: 2022-11-13 url: "https://github.com/jamnicki/bachelor_thesis_project" note: "Thesis topic: System for Training-based Expansion of Tools for Proper Name Mentions Recognition Based on Active Learning"
GitHub Events
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Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jędrzej Jamnicki | j****i@g****m | 76 |
| Jędrzej Jamnicki | 5****i | 18 |
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 2 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 9
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- jamnicki (9)